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Development of Accident Probability Index Using Surrogate Indicators of Chemical Accidents in Chemical Plants

To reduce damage caused by chemical accidents, it is important to establish a prevention system for chemical accidents. The first step in the prevention of chemical accidents is to screen the high-risk chemical plants. Risk index, one of the screening methods, can indirectly estimate the risk at eac...

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Autores principales: Huh, Da-An, Huh, Eun-Hae, Byeon, Sang-Hoon, Sohn, Jong-Ryeul, Moon, Kyong Whan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6766034/
https://www.ncbi.nlm.nih.gov/pubmed/31492047
http://dx.doi.org/10.3390/ijerph16183271
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author Huh, Da-An
Huh, Eun-Hae
Byeon, Sang-Hoon
Sohn, Jong-Ryeul
Moon, Kyong Whan
author_facet Huh, Da-An
Huh, Eun-Hae
Byeon, Sang-Hoon
Sohn, Jong-Ryeul
Moon, Kyong Whan
author_sort Huh, Da-An
collection PubMed
description To reduce damage caused by chemical accidents, it is important to establish a prevention system for chemical accidents. The first step in the prevention of chemical accidents is to screen the high-risk chemical plants. Risk index, one of the screening methods, can indirectly estimate the risk at each chemical plant. For calculating the risk index, the probability of an accident needs to be estimated, which requires complex calculation and confidential data from plants that are difficult to obtain. Therefore, we developed a new index, the accident probability index, to estimate accident probability in chemical plants using readily accessible data. We conducted a literature survey on the existing risk indices and interviewed chemical experts and government chemical managers to select surrogate indicators related to chemical accidents, and four indicators were chosen: hazardous characteristics of chemicals, handling volume, records of accident frequency, and national accident frequency of chemicals. We calculated the accident probability index for 4520 chemical plants, and index value means was 5.324 (95% confidence interval (CI): 3.156, 7.493). An increase by 10 in the index value denoted a 1.06-fold (95% CI: 1.04, 1.08) increase in the odds ratio for actual accident occurrence. The accident frequency of the fourth quartile of the index value was 4.30 times (95% CI: 1.72, 10.75) higher than those of the first quartile.
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spelling pubmed-67660342019-09-30 Development of Accident Probability Index Using Surrogate Indicators of Chemical Accidents in Chemical Plants Huh, Da-An Huh, Eun-Hae Byeon, Sang-Hoon Sohn, Jong-Ryeul Moon, Kyong Whan Int J Environ Res Public Health Article To reduce damage caused by chemical accidents, it is important to establish a prevention system for chemical accidents. The first step in the prevention of chemical accidents is to screen the high-risk chemical plants. Risk index, one of the screening methods, can indirectly estimate the risk at each chemical plant. For calculating the risk index, the probability of an accident needs to be estimated, which requires complex calculation and confidential data from plants that are difficult to obtain. Therefore, we developed a new index, the accident probability index, to estimate accident probability in chemical plants using readily accessible data. We conducted a literature survey on the existing risk indices and interviewed chemical experts and government chemical managers to select surrogate indicators related to chemical accidents, and four indicators were chosen: hazardous characteristics of chemicals, handling volume, records of accident frequency, and national accident frequency of chemicals. We calculated the accident probability index for 4520 chemical plants, and index value means was 5.324 (95% confidence interval (CI): 3.156, 7.493). An increase by 10 in the index value denoted a 1.06-fold (95% CI: 1.04, 1.08) increase in the odds ratio for actual accident occurrence. The accident frequency of the fourth quartile of the index value was 4.30 times (95% CI: 1.72, 10.75) higher than those of the first quartile. MDPI 2019-09-05 2019-09 /pmc/articles/PMC6766034/ /pubmed/31492047 http://dx.doi.org/10.3390/ijerph16183271 Text en © 2019 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Huh, Da-An
Huh, Eun-Hae
Byeon, Sang-Hoon
Sohn, Jong-Ryeul
Moon, Kyong Whan
Development of Accident Probability Index Using Surrogate Indicators of Chemical Accidents in Chemical Plants
title Development of Accident Probability Index Using Surrogate Indicators of Chemical Accidents in Chemical Plants
title_full Development of Accident Probability Index Using Surrogate Indicators of Chemical Accidents in Chemical Plants
title_fullStr Development of Accident Probability Index Using Surrogate Indicators of Chemical Accidents in Chemical Plants
title_full_unstemmed Development of Accident Probability Index Using Surrogate Indicators of Chemical Accidents in Chemical Plants
title_short Development of Accident Probability Index Using Surrogate Indicators of Chemical Accidents in Chemical Plants
title_sort development of accident probability index using surrogate indicators of chemical accidents in chemical plants
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6766034/
https://www.ncbi.nlm.nih.gov/pubmed/31492047
http://dx.doi.org/10.3390/ijerph16183271
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